Pandas Profiling Report

Dataset statistics

Number of variables	19
Number of observations	103
Missing cells	208
Missing cells (%)	10.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	15.4 KiB
Average record size in memory	153.2 B

Variable types

Numeric	12
DateTime	1
Categorical	4
Unsupported	2

Warnings

`Channel` has constant value "Reclame Aqui"	Constant
`Tickets` has constant value "1"	Constant
`Requester email` has a high cardinality: 103 distinct values	High cardinality
`df_index` is highly correlated with `Requester external ID` and 1 other fields	High correlation
`Requester external ID` is highly correlated with `df_index` and 1 other fields	High correlation
`Requester_ID` is highly correlated with `df_index` and 1 other fields	High correlation
`Volume_CHAT` is highly correlated with `CSAT_Rated`	High correlation
`CSAT_Rated` is highly correlated with `Volume_CHAT`	High correlation
`df_index` is highly correlated with `Requester external ID` and 1 other fields	High correlation
`Requester external ID` is highly correlated with `df_index` and 1 other fields	High correlation
`Requester_ID` is highly correlated with `df_index` and 1 other fields	High correlation
`Volume_CHAT` is highly correlated with `CSAT_Rated`	High correlation
`%Insatisfação(CSAT)` is highly correlated with `CSAT_Rated`	High correlation
`CSAT_Rated` is highly correlated with `Volume_CHAT` and 1 other fields	High correlation
`df_index` is highly correlated with `Requester external ID` and 1 other fields	High correlation
`Requester external ID` is highly correlated with `df_index` and 1 other fields	High correlation
`Requester_ID` is highly correlated with `df_index` and 1 other fields	High correlation
`Volume_CHAT` is highly correlated with `CSAT_Rated`	High correlation
`CSAT_Rated` is highly correlated with `Volume_CHAT`	High correlation
`Requester_ID` is highly correlated with `Requester external ID` and 2 other fields	High correlation
`%Insatisfação(CSAT)` is highly correlated with `CSAT_Rated` and 1 other fields	High correlation
`Ticket ID` is highly correlated with `Assignee email` and 1 other fields	High correlation
`%NFCR` is highly correlated with `Volume_CHAT` and 1 other fields	High correlation
`Volume_EMAIL` is highly correlated with `Tempo_Medio_Email`	High correlation
`Requester external ID` is highly correlated with `Requester_ID` and 2 other fields	High correlation
`AWT_Chat` is highly correlated with `Ticket created - Date`	High correlation
`Tempo_Medio_Chat` is highly correlated with `Ticket created - Date`	High correlation
`CSAT_Rated` is highly correlated with `%Insatisfação(CSAT)` and 1 other fields	High correlation
`Volume_CHAT` is highly correlated with `%Insatisfação(CSAT)` and 3 other fields	High correlation
`Assignee email` is highly correlated with `Ticket ID`	High correlation
`Tempo_Medio_Email` is highly correlated with `Volume_EMAIL`	High correlation
`df_index` is highly correlated with `Requester_ID` and 2 other fields	High correlation
`Ticket created - Date` is highly correlated with `Requester_ID` and 7 other fields	High correlation
`Channel` is highly correlated with `Tickets` and 1 other fields	High correlation
`Tickets` is highly correlated with `Channel` and 1 other fields	High correlation
`Assignee email` is highly correlated with `Channel` and 1 other fields	High correlation
`Volume_SOCIAL` has 103 (100.0%) missing values	Missing
`Tempo_Medio_Social` has 103 (100.0%) missing values	Missing
`Requester email` is uniformly distributed	Uniform
`df_index` has unique values	Unique
`Requester external ID` has unique values	Unique
`Ticket ID` has unique values	Unique
`Requester email` has unique values	Unique
`Requester_ID` has unique values	Unique
`Volume_SOCIAL` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Tempo_Medio_Social` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`%NFCR` has 28 (27.2%) zeros	Zeros
`%Insatisfação(CSAT)` has 66 (64.1%) zeros	Zeros
`CSAT_Rated` has 34 (33.0%) zeros	Zeros

Reproduction

Analysis started	2021-06-15 16:42:15.780710
Analysis finished	2021-06-15 16:42:41.627107
Duration	25.85 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	103
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	489.6504854

Minimum	4
Maximum	932
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	952.0 B

Quantile statistics

Minimum	4
5-th percentile	54.1
Q1	279
median	487
Q3	720
95-th percentile	904.3
Maximum	932
Range	928
Interquartile range (IQR)	441

Descriptive statistics

Standard deviation	268.4522344
Coefficient of variation (CV)	0.5482527687
Kurtosis	-1.152105309
Mean	489.6504854
Median Absolute Deviation (MAD)	224
Skewness	-0.04097715684
Sum	50434
Variance	72066.60213
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
510	1	1.0%
611	1	1.0%
330	1	1.0%
335	1	1.0%
596	1	1.0%
85	1	1.0%
598	1	1.0%
382	1	1.0%
731	1	1.0%
863	1	1.0%
Other values (93)	93	90.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4	1	1.0%
18	1	1.0%
24	1	1.0%
33	1	1.0%
40	1	1.0%
52	1	1.0%
73	1	1.0%
85	1	1.0%
107	1	1.0%
128	1	1.0%

Value	Count	Frequency (%)
932	1	1.0%
926	1	1.0%
924	1	1.0%
923	1	1.0%
915	1	1.0%
906	1	1.0%
889	1	1.0%
877	1	1.0%
869	1	1.0%
863	1	1.0%

Requester external ID
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	103
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8914559.019

Minimum	54194
Maximum	19066870
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	952.0 B

Quantile statistics

Minimum	54194
5-th percentile	506556.6
Q1	4467439.5
median	8220013
Q3	13809182.5
95-th percentile	17307331.9
Maximum	19066870
Range	19012676
Interquartile range (IQR)	9341743

Descriptive statistics

Standard deviation	5635688.525
Coefficient of variation (CV)	0.6321892662
Kurtosis	-1.209150668
Mean	8914559.019
Median Absolute Deviation (MAD)	4964030
Skewness	0.120628466
Sum	918199579
Variance	3.176098516 × 10¹³
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
853458	1	1.0%
11072911	1	1.0%
6806022	1	1.0%
9823290	1	1.0%
16626791	1	1.0%
6552151	1	1.0%
404518	1	1.0%
13887500	1	1.0%
8754504	1	1.0%
5860014	1	1.0%
Other values (93)	93	90.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
54194	1	1.0%
148875	1	1.0%
215927	1	1.0%
348718	1	1.0%
404518	1	1.0%
488335	1	1.0%
670551	1	1.0%
853458	1	1.0%
1009400	1	1.0%
1186403	1	1.0%

Value	Count	Frequency (%)
19066870	1	1.0%
18814467	1	1.0%
18685771	1	1.0%
18685162	1	1.0%
18570294	1	1.0%
17326176	1	1.0%
17137735	1	1.0%
17050426	1	1.0%
16941342	1	1.0%
16920828	1	1.0%

Ticket created - Date
Date

HIGH CORRELATION

Distinct	70
Distinct (%)	68.0%
Missing	0
Missing (%)	0.0%
Memory size	952.0 B

Minimum	2021-01-07 00:00:00
Maximum	2021-06-09 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

Channel
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	952.0 B

Reclame Aqui	103

Length

Max length	12
Median length	12
Mean length	12
Min length	12

Characters and Unicode

Total characters	1236
Distinct characters	11
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Reclame Aqui
2nd row	Reclame Aqui
3rd row	Reclame Aqui
4th row	Reclame Aqui
5th row	Reclame Aqui

Common Values

Value	Count	Frequency (%)
Reclame Aqui	103	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
reclame	103	50.0%
aqui	103	50.0%

Most occurring characters

Value	Count	Frequency (%)
e	206	16.7%
R	103	8.3%
c	103	8.3%
l	103	8.3%
a	103	8.3%
m	103	8.3%
	103	8.3%
A	103	8.3%
q	103	8.3%
u	103	8.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	927	75.0%
Uppercase Letter	206	16.7%
Space Separator	103	8.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	206	22.2%
c	103	11.1%
l	103	11.1%
a	103	11.1%
m	103	11.1%
q	103	11.1%
u	103	11.1%
i	103	11.1%

Uppercase Letter

Value	Count	Frequency (%)
R	103	50.0%
A	103	50.0%

Space Separator

Value	Count	Frequency (%)
	103	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1133	91.7%
Common	103	8.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	206	18.2%
R	103	9.1%
c	103	9.1%
l	103	9.1%
a	103	9.1%
m	103	9.1%
A	103	9.1%
q	103	9.1%
u	103	9.1%
i	103	9.1%

Common

Value	Count	Frequency (%)
	103	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1236	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	206	16.7%
R	103	8.3%
c	103	8.3%
l	103	8.3%
a	103	8.3%
m	103	8.3%
	103	8.3%
A	103	8.3%
q	103	8.3%
u	103	8.3%

Ticket ID
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	103
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3788058.282

Minimum	3489502
Maximum	4078417
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	952.0 B

Quantile statistics

Minimum	3489502
5-th percentile	3521645.3
Q1	3615755
median	3795980
Q3	3954945.5
95-th percentile	4024304.4
Maximum	4078417
Range	588915
Interquartile range (IQR)	339190.5

Descriptive statistics

Standard deviation	179469.1107
Coefficient of variation (CV)	0.04737760017
Kurtosis	-1.452945056
Mean	3788058.282
Median Absolute Deviation (MAD)	167224
Skewness	-0.1176438073
Sum	390170003
Variance	3.220916169 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3596286	1	1.0%
3752021	1	1.0%
3953472	1	1.0%
3963204	1	1.0%
3794762	1	1.0%
3758924	1	1.0%
3977805	1	1.0%
3976013	1	1.0%
3516237	1	1.0%
3965264	1	1.0%
Other values (93)	93	90.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3489502	1	1.0%
3497235	1	1.0%
3505433	1	1.0%
3516237	1	1.0%
3517190	1	1.0%
3521153	1	1.0%
3526076	1	1.0%
3527442	1	1.0%
3537166	1	1.0%
3537196	1	1.0%

Value	Count	Frequency (%)
4078417	1	1.0%
4071584	1	1.0%
4069621	1	1.0%
4062341	1	1.0%
4030469	1	1.0%
4025110	1	1.0%
4017054	1	1.0%
4016762	1	1.0%
4012508	1	1.0%
4011570	1	1.0%

Assignee email
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	11.7%
Missing	0
Missing (%)	0.0%
Memory size	952.0 B

kaique.barbosa@gympass.com	32
barbara.priscila@gympass.com	16
suellen.franco+core@gympass.com	15
danielle.hernandes@gympass.com	14
luciana.melo@gympass.com	10
Other values (7)	16

Length

Max length	31
Median length	27
Mean length	27.52427184
Min length	23

Characters and Unicode

Total characters	2835
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	2.9%

Sample

1st row	gabriel.almeida@gympass.com
2nd row	barbara.priscila@gympass.com
3rd row	kaique.barbosa@gympass.com
4th row	luciana.melo@gympass.com
5th row	suellen.franco+core@gympass.com

Common Values

Value	Count	Frequency (%)
kaique.barbosa@gympass.com	32	31.1%
barbara.priscila@gympass.com	16	15.5%
suellen.franco+core@gympass.com	15	14.6%
danielle.hernandes@gympass.com	14	13.6%
luciana.melo@gympass.com	10	9.7%
anderson.santos@gympass.com	5	4.9%
gabriel.almeida@gympass.com	3	2.9%
elizabete.damiao@gympass.com	3	2.9%
caroline.roberto@gympass.com	2	1.9%
yasmin.reis@gympass.com	1	1.0%
Other values (2)	2	1.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kaique.barbosa@gympass.com	32	31.1%
barbara.priscila@gympass.com	16	15.5%
suellen.franco+core@gympass.com	15	14.6%
danielle.hernandes@gympass.com	14	13.6%
luciana.melo@gympass.com	10	9.7%
anderson.santos@gympass.com	5	4.9%
gabriel.almeida@gympass.com	3	2.9%
elizabete.damiao@gympass.com	3	2.9%
caroline.roberto@gympass.com	2	1.9%
yasmin.reis@gympass.com	1	1.0%
Other values (2)	2	1.9%

Most occurring characters

Value	Count	Frequency (%)
a	359	12.7%
s	301	10.6%
m	224	7.9%
.	206	7.3%
o	199	7.0%
e	171	6.0%
c	163	5.7%
r	141	5.0%
p	119	4.2%
l	108	3.8%
Other values (15)	844	29.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2511	88.6%
Other Punctuation	309	10.9%
Math Symbol	15	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	359	14.3%
s	301	12.0%
m	224	8.9%
o	199	7.9%
e	171	6.8%
c	163	6.5%
r	141	5.6%
p	119	4.7%
l	108	4.3%
g	106	4.2%
Other values (12)	620	24.7%

Other Punctuation

Value	Count	Frequency (%)
.	206	66.7%
@	103	33.3%

Math Symbol

Value	Count	Frequency (%)
+	15	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2511	88.6%
Common	324	11.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	359	14.3%
s	301	12.0%
m	224	8.9%
o	199	7.9%
e	171	6.8%
c	163	6.5%
r	141	5.6%
p	119	4.7%
l	108	4.3%
g	106	4.2%
Other values (12)	620	24.7%

Common

Value	Count	Frequency (%)
.	206	63.6%
@	103	31.8%
+	15	4.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2835	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	359	12.7%
s	301	10.6%
m	224	7.9%
.	206	7.3%
o	199	7.0%
e	171	6.0%
c	163	5.7%
r	141	5.0%
p	119	4.2%
l	108	3.8%
Other values (15)	844	29.8%

Requester email
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	103
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	952.0 B

camilampm@yahoo.com.br	1
alexandropersi@gmail.com	1
thais.arruda.silva@gmail.com	1
giovana.sanini@buser.com.br	1
wander@fasa.edu.br	1
Other values (98)	98

Length

Max length	62
Median length	25
Mean length	25.21359223
Min length	16

Characters and Unicode

Total characters	2597
Distinct characters	40
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	103 ?
Unique (%)	100.0%

Sample

1st row	nancy.jikihara@voith.com
2nd row	wesbley.carvalho@livup.com.br
3rd row	laura.andrade@erm.com
4th row	guilhermequintino@gmail.com
5th row	joice.bertechini@gmail.com

Common Values

Value	Count	Frequency (%)
camilampm@yahoo.com.br	1	1.0%
alexandropersi@gmail.com	1	1.0%
thais.arruda.silva@gmail.com	1	1.0%
giovana.sanini@buser.com.br	1	1.0%
wander@fasa.edu.br	1	1.0%
na.matiolli@gmail.com	1	1.0%
guilhermemoura403@gmail.com	1	1.0%
ricardodegoescorreia@gmail.com	1	1.0%
smtreinamentofuncional@gmail.com	1	1.0%
sergiotgbarros@uol.com.br	1	1.0%
Other values (93)	93	90.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
camilampm@yahoo.com.br	1	1.0%
alexandropersi@gmail.com	1	1.0%
thais.arruda.silva@gmail.com	1	1.0%
giovana.sanini@buser.com.br	1	1.0%
wander@fasa.edu.br	1	1.0%
na.matiolli@gmail.com	1	1.0%
guilhermemoura403@gmail.com	1	1.0%
ricardodegoescorreia@gmail.com	1	1.0%
smtreinamentofuncional@gmail.com	1	1.0%
sergiotgbarros@uol.com.br	1	1.0%
Other values (93)	93	90.3%

Most occurring characters

Value	Count	Frequency (%)
a	287	11.1%
o	262	10.1%
m	216	8.3%
i	179	6.9%
l	166	6.4%
.	163	6.3%
c	152	5.9%
r	138	5.3%
e	127	4.9%
@	103	4.0%
Other values (30)	804	31.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2223	85.6%
Other Punctuation	266	10.2%
Decimal Number	85	3.3%
Dash Punctuation	14	0.5%
Connector Punctuation	9	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	287	12.9%
o	262	11.8%
m	216	9.7%
i	179	8.1%
l	166	7.5%
c	152	6.8%
r	138	6.2%
e	127	5.7%
s	95	4.3%
n	89	4.0%
Other values (16)	512	23.0%

Decimal Number

Value	Count	Frequency (%)
1	14	16.5%
0	13	15.3%
6	10	11.8%
2	10	11.8%
8	9	10.6%
5	7	8.2%
9	7	8.2%
3	6	7.1%
4	5	5.9%
7	4	4.7%

Other Punctuation

Value	Count	Frequency (%)
.	163	61.3%
@	103	38.7%

Dash Punctuation

Value	Count	Frequency (%)
-	14	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	9	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2223	85.6%
Common	374	14.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	287	12.9%
o	262	11.8%
m	216	9.7%
i	179	8.1%
l	166	7.5%
c	152	6.8%
r	138	6.2%
e	127	5.7%
s	95	4.3%
n	89	4.0%
Other values (16)	512	23.0%

Common

Value	Count	Frequency (%)
.	163	43.6%
@	103	27.5%
-	14	3.7%
1	14	3.7%
0	13	3.5%
6	10	2.7%
2	10	2.7%
_	9	2.4%
8	9	2.4%
5	7	1.9%
Other values (4)	22	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2597	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	287	11.1%
o	262	10.1%
m	216	8.3%
i	179	6.9%
l	166	6.4%
.	163	6.3%
c	152	5.9%
r	138	5.3%
e	127	4.9%
@	103	4.0%
Other values (30)	804	31.0%

Tickets
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	952.0 B

1	103

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	103
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	103	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	103	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	103	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	103	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	103	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	103	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	103	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	103	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	103	100.0%

Requester_ID
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	103
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8914559.019

Minimum	54194
Maximum	19066870
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	952.0 B

Quantile statistics

Minimum	54194
5-th percentile	506556.6
Q1	4467439.5
median	8220013
Q3	13809182.5
95-th percentile	17307331.9
Maximum	19066870
Range	19012676
Interquartile range (IQR)	9341743

Descriptive statistics

Standard deviation	5635688.525
Coefficient of variation (CV)	0.6321892662
Kurtosis	-1.209150668
Mean	8914559.019
Median Absolute Deviation (MAD)	4964030
Skewness	0.120628466
Sum	918199579
Variance	3.176098516 × 10¹³
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
16920828	1	1.0%
17326176	1	1.0%
17137735	1	1.0%
8754504	1	1.0%
13359056	1	1.0%
5399885	1	1.0%
5989712	1	1.0%
3350869	1	1.0%
6552151	1	1.0%
8777560	1	1.0%
Other values (93)	93	90.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
54194	1	1.0%
148875	1	1.0%
215927	1	1.0%
348718	1	1.0%
404518	1	1.0%
488335	1	1.0%
670551	1	1.0%
853458	1	1.0%
1009400	1	1.0%
1186403	1	1.0%

Value	Count	Frequency (%)
19066870	1	1.0%
18814467	1	1.0%
18685771	1	1.0%
18685162	1	1.0%
18570294	1	1.0%
17326176	1	1.0%
17137735	1	1.0%
17050426	1	1.0%
16941342	1	1.0%
16920828	1	1.0%

Volume_CHAT
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	10.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.650485437

Minimum	0
Maximum	16
Zeros	1
Zeros (%)	1.0%
Negative	0
Negative (%)	0.0%
Memory size	952.0 B

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	7.9
Maximum	16
Range	16
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.371020868
Coefficient of variation (CV)	0.894560987
Kurtosis	9.856650226
Mean	2.650485437
Median Absolute Deviation (MAD)	1
Skewness	2.592026464
Sum	273
Variance	5.621739958
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
1	44	42.7%
3	19	18.4%
2	15	14.6%
4	10	9.7%
5	6	5.8%
9	3	2.9%
8	2	1.9%
0	1	1.0%
7	1	1.0%
16	1	1.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	1.0%
1	44	42.7%
2	15	14.6%
3	19	18.4%
4	10	9.7%
5	6	5.8%
6	1	1.0%
7	1	1.0%
8	2	1.9%
9	3	2.9%

Value	Count	Frequency (%)
16	1	1.0%
9	3	2.9%
8	2	1.9%
7	1	1.0%
6	1	1.0%
5	6	5.8%
4	10	9.7%
3	19	18.4%
2	15	14.6%
1	44	42.7%

Volume_EMAIL
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	6
Distinct (%)	5.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.563106796

Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	952.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	3
Maximum	8
Range	7
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.025841624
Coefficient of variation (CV)	0.6562837719
Kurtosis	15.39185153
Mean	1.563106796
Median Absolute Deviation (MAD)	0
Skewness	3.244045751
Sum	161
Variance	1.052351038
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	66	64.1%
2	25	24.3%
3	8	7.8%
4	2	1.9%
5	1	1.0%
8	1	1.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	66	64.1%
2	25	24.3%
3	8	7.8%
4	2	1.9%
5	1	1.0%
8	1	1.0%

Value	Count	Frequency (%)
8	1	1.0%
5	1	1.0%
4	2	1.9%
3	8	7.8%
2	25	24.3%
1	66	64.1%

Volume_SOCIAL
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	103
Missing (%)	100.0%
Memory size	952.0 B

Tempo_Medio_Chat
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	101
Distinct (%)	99.0%
Missing	1
Missing (%)	1.0%
Infinite	0
Infinite (%)	0.0%
Mean	1376.588235

Minimum	15
Maximum	3114
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	952.0 B

Quantile statistics

Minimum	15
5-th percentile	418.9
Q1	918.25
median	1323
Q3	1716.25
95-th percentile	2680.75
Maximum	3114
Range	3099
Interquartile range (IQR)	798

Descriptive statistics

Standard deviation	650.0578398
Coefficient of variation (CV)	0.4722238816
Kurtosis	0.05939509507
Mean	1376.588235
Median Absolute Deviation (MAD)	397
Skewness	0.5083057296
Sum	140412
Variance	422575.1951
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1952	2	1.9%
2143	1	1.0%
726	1	1.0%
1360	1	1.0%
436	1	1.0%
1512	1	1.0%
57	1	1.0%
878	1	1.0%
816	1	1.0%
2681	1	1.0%
Other values (91)	91	88.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
15	1	1.0%
57	1	1.0%
377	1	1.0%
384	1	1.0%
413	1	1.0%
418	1	1.0%
436	1	1.0%
552	1	1.0%
553	1	1.0%
555	1	1.0%

Value	Count	Frequency (%)
3114	1	1.0%
2899	1	1.0%
2769	1	1.0%
2722	1	1.0%
2689	1	1.0%
2681	1	1.0%
2676	1	1.0%
2607	1	1.0%
2546	1	1.0%
2440	1	1.0%

Tempo_Medio_Email
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	102
Distinct (%)	99.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11334.81553

Minimum	1470
Maximum	57865
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	952.0 B

Quantile statistics

Minimum	1470
5-th percentile	2669.1
Q1	5254
median	8286
Q3	14934
95-th percentile	27134.9
Maximum	57865
Range	56395
Interquartile range (IQR)	9680

Descriptive statistics

Standard deviation	9048.550857
Coefficient of variation (CV)	0.7982971429
Kurtosis	6.65449322
Mean	11334.81553
Median Absolute Deviation (MAD)	4375
Skewness	2.097650557
Sum	1167486
Variance	81876272.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15843	2	1.9%
17543	1	1.0%
22396	1	1.0%
6820	1	1.0%
11780	1	1.0%
3238	1	1.0%
8286	1	1.0%
3442	1	1.0%
18904	1	1.0%
10625	1	1.0%
Other values (92)	92	89.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1470	1	1.0%
1932	1	1.0%
2183	1	1.0%
2244	1	1.0%
2569	1	1.0%
2640	1	1.0%
2931	1	1.0%
3061	1	1.0%
3121	1	1.0%
3207	1	1.0%

Value	Count	Frequency (%)
57865	1	1.0%
38520	1	1.0%
34728	1	1.0%
32539	1	1.0%
32015	1	1.0%
27191	1	1.0%
26630	1	1.0%
23832	1	1.0%
22733	1	1.0%
22712	1	1.0%

Tempo_Medio_Social
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	103
Missing (%)	100.0%
Memory size	952.0 B

AWT_Chat
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	66
Distinct (%)	64.7%
Missing	1
Missing (%)	1.0%
Infinite	0
Infinite (%)	0.0%
Mean	152.0098039

Minimum	7
Maximum	1981
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	952.0 B

Quantile statistics

Minimum	7
5-th percentile	8
Q1	18.5
median	37.5
Q3	113.5
95-th percentile	680.95
Maximum	1981
Range	1974
Interquartile range (IQR)	95

Descriptive statistics

Standard deviation	301.0175974
Coefficient of variation (CV)	1.980251205
Kurtosis	19.32820308
Mean	152.0098039
Median Absolute Deviation (MAD)	26.5
Skewness	4.015252905
Sum	15505
Variance	90611.59396
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7	5	4.9%
33	5	4.9%
11	4	3.9%
24	4	3.9%
8	3	2.9%
13	3	2.9%
35	3	2.9%
23	3	2.9%
14	3	2.9%
115	2	1.9%
Other values (56)	67	65.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
7	5	4.9%
8	3	2.9%
9	1	1.0%
11	4	3.9%
12	2	1.9%
13	3	2.9%
14	3	2.9%
16	2	1.9%
17	2	1.9%
18	1	1.0%

Value	Count	Frequency (%)
1981	1	1.0%
1691	1	1.0%
843	1	1.0%
801	1	1.0%
765	1	1.0%
689	1	1.0%
528	1	1.0%
517	1	1.0%
479	1	1.0%
429	1	1.0%

%NFCR
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	19
Distinct (%)	18.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3170832705

Minimum	0
Maximum	1
Zeros	28
Zeros (%)	27.2%
Negative	0
Negative (%)	0.0%
Memory size	952.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.3333333333
Q3	0.5
95-th percentile	0.6666666667
Maximum	1
Range	1
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	0.2370517885
Coefficient of variation (CV)	0.747601058
Kurtosis	-0.7273449227
Mean	0.3170832705
Median Absolute Deviation (MAD)	0.1666666667
Skewness	0.0564166741
Sum	32.65957686
Variance	0.05619355043
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
0	28	27.2%
0.5	25	24.3%
0.3333333333	13	12.6%
0.25	8	7.8%
0.4	5	4.9%
0.2	4	3.9%
0.6666666667	4	3.9%
0.1666666667	2	1.9%
0.6	2	1.9%
0.3	2	1.9%
Other values (9)	10	9.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	28	27.2%
0.1666666667	2	1.9%
0.2	4	3.9%
0.25	8	7.8%
0.3	2	1.9%
0.3333333333	13	12.6%
0.375	1	1.0%
0.4	5	4.9%
0.4285714286	1	1.0%
0.4444444444	1	1.0%

Value	Count	Frequency (%)
1	1	1.0%
0.75	2	1.9%
0.7142857143	1	1.0%
0.6666666667	4	3.9%
0.6470588235	1	1.0%
0.6	2	1.9%
0.5714285714	1	1.0%
0.5454545455	1	1.0%
0.5	25	24.3%
0.4444444444	1	1.0%

%Insatisfação(CSAT)
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	8
Distinct (%)	7.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.2897311426

Minimum	0
Maximum	1
Zeros	66
Zeros (%)	64.1%
Negative	0
Negative (%)	0.0%
Memory size	952.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0.5
95-th percentile	1
Maximum	1
Range	1
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	0.4184600572
Coefficient of variation (CV)	1.444304721
Kurtosis	-0.9258565024
Mean	0.2897311426
Median Absolute Deviation (MAD)	0
Skewness	0.9332667072
Sum	29.84230769
Variance	0.1751088195
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	66	64.1%
1	23	22.3%
0.5	9	8.7%
0.3333333333	1	1.0%
0.4	1	1.0%
0.6923076923	1	1.0%
0.6666666667	1	1.0%
0.25	1	1.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	66	64.1%
0.25	1	1.0%
0.3333333333	1	1.0%
0.4	1	1.0%
0.5	9	8.7%
0.6666666667	1	1.0%
0.6923076923	1	1.0%
1	23	22.3%

Value	Count	Frequency (%)
1	23	22.3%
0.6923076923	1	1.0%
0.6666666667	1	1.0%
0.5	9	8.7%
0.4	1	1.0%
0.3333333333	1	1.0%
0.25	1	1.0%
0	66	64.1%

CSAT_Rated
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	8
Distinct (%)	7.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.203883495

Minimum	0
Maximum	13
Zeros	34
Zeros (%)	33.0%
Negative	0
Negative (%)	0.0%
Memory size	952.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	3
Maximum	13
Range	13
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.62914162
Coefficient of variation (CV)	1.353238604
Kurtosis	27.12441364
Mean	1.203883495
Median Absolute Deviation (MAD)	1
Skewness	4.269709731
Sum	124
Variance	2.654102418
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
1	39	37.9%
0	34	33.0%
2	23	22.3%
5	2	1.9%
3	2	1.9%
13	1	1.0%
6	1	1.0%
4	1	1.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	34	33.0%
1	39	37.9%
2	23	22.3%
3	2	1.9%
4	1	1.0%
5	2	1.9%
6	1	1.0%
13	1	1.0%

Value	Count	Frequency (%)
13	1	1.0%
6	1	1.0%
5	2	1.9%
4	1	1.0%
3	2	1.9%
2	23	22.3%
1	39	37.9%
0	34	33.0%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	df_index	Requester external ID	Ticket created - Date	Channel	Ticket ID	Assignee email	Requester email	Tickets	Requester_ID	Volume_CHAT	Volume_EMAIL	Volume_SOCIAL	Tempo_Medio_Chat	Tempo_Medio_Email	Tempo_Medio_Social	AWT_Chat	%NFCR	%Insatisfação(CSAT)	CSAT_Rated
0	4	54194.0	2021-03-22	Reclame Aqui	3795980	gabriel.almeida@gympass.com	nancy.jikihara@voith.com	1	54194	1.0	1.0	NaN	1066.0	57865.0	NaN	169.0	0.500000	1.0	1
1	18	148875.0	2021-05-07	Reclame Aqui	3956419	barbara.priscila@gympass.com	wesbley.carvalho@livup.com.br	1	148875	6.0	1.0	NaN	1309.0	23832.0	NaN	138.0	0.714286	1.0	1
2	24	215927.0	2021-01-26	Reclame Aqui	3568930	kaique.barbosa@gympass.com	laura.andrade@erm.com	1	215927	3.0	1.0	NaN	1884.0	1932.0	NaN	14.0	0.250000	1.0	1
3	33	348718.0	2021-05-04	Reclame Aqui	3943532	luciana.melo@gympass.com	guilhermequintino@gmail.com	1	348718	1.0	1.0	NaN	1688.0	32539.0	NaN	89.0	0.000000	1.0	1
4	40	404518.0	2021-02-09	Reclame Aqui	3629138	suellen.franco+core@gympass.com	joice.bertechini@gmail.com	1	404518	3.0	1.0	NaN	1728.0	10625.0	NaN	87.0	0.250000	0.0	2
5	52	488335.0	2021-01-27	Reclame Aqui	3574448	danielle.hernandes@gympass.com	vanessa-fcampos@hotmail.com	1	488335	2.0	1.0	NaN	1224.0	11389.0	NaN	33.0	0.666667	1.0	2
6	73	670551.0	2021-02-01	Reclame Aqui	3589849	kaique.barbosa@gympass.com	luba_balbal@hotmail.com	1	670551	3.0	1.0	NaN	1952.0	5178.0	NaN	11.0	0.000000	0.0	0
7	85	853458.0	2021-05-26	Reclame Aqui	4025110	kaique.barbosa@gympass.com	sergiotgbarros@uol.com.br	1	853458	1.0	8.0	NaN	1477.0	10458.0	NaN	7.0	0.750000	0.0	0
8	107	1009400.0	2021-05-11	Reclame Aqui	3969476	barbara.priscila@gympass.com	bmenndes@gmail.com	1	1009400	2.0	3.0	NaN	1324.0	6792.0	NaN	35.0	0.333333	0.0	0
9	128	1186403.0	2021-05-05	Reclame Aqui	3947655	barbara.priscila@gympass.com	luanycardoso@gmail.com	1	1186403	3.0	1.0	NaN	1322.0	3121.0	NaN	11.0	0.250000	0.0	2

Last rows

	df_index	Requester external ID	Ticket created - Date	Channel	Ticket ID	Assignee email	Requester email	Tickets	Requester_ID	Volume_CHAT	Volume_EMAIL	Volume_SOCIAL	Tempo_Medio_Chat	Tempo_Medio_Email	Tempo_Medio_Social	AWT_Chat	%NFCR	%Insatisfação(CSAT)	CSAT_Rated
93	863	16920828.0	2021-01-22	Reclame Aqui	3557795	kaique.barbosa@gympass.com	caroline.bonesi@gmail.com	1	16920828	1.0	2.0	NaN	961.0	7892.0	NaN	13.0	0.333333	1.00	1
94	869	16941342.0	2021-04-30	Reclame Aqui	3929623	kaique.barbosa@gympass.com	ex.ravem666@gmail.com	1	16941342	3.0	3.0	NaN	821.0	11219.0	NaN	72.0	0.500000	1.00	2
95	877	17050426.0	2021-05-10	Reclame Aqui	3963204	kaique.barbosa@gympass.com	bina131@live.com	1	17050426	1.0	1.0	NaN	665.0	12316.0	NaN	109.0	0.000000	1.00	1
96	889	17137735.0	2021-05-24	Reclame Aqui	4011570	danielle.hernandes@gympass.com	mauricio.miranda@stone.com.br	1	17137735	4.0	1.0	NaN	1754.0	7338.0	NaN	23.0	0.400000	1.00	2
97	906	17326176.0	2021-04-12	Reclame Aqui	3865534	danielle.hernandes@gympass.com	cristiano.body@gmail.com	1	17326176	1.0	1.0	NaN	418.0	3553.0	NaN	46.0	0.000000	0.00	1
98	915	18570294.0	2021-04-20	Reclame Aqui	3892841	danielle.hernandes@gympass.com	fabionunesp@hotmail.com	1	18570294	2.0	4.0	NaN	2769.0	38520.0	NaN	11.0	0.500000	0.00	1
99	923	18685162.0	2021-05-19	Reclame Aqui	3996381	barbara.priscila@gympass.com	thales.berdu@bayer.com	1	18685162	1.0	2.0	NaN	1013.0	12767.0	NaN	1691.0	0.500000	1.00	1
100	924	18685771.0	2021-05-18	Reclame Aqui	3993205	kaique.barbosa@gympass.com	andre.martins@modal.com.br	1	18685771	5.0	1.0	NaN	962.0	11879.0	NaN	332.0	0.500000	0.25	4
101	926	18814467.0	2021-05-24	Reclame Aqui	4012508	barbara.priscila@gympass.com	flaviaduarte@vooal.com	1	18814467	1.0	3.0	NaN	1333.0	6891.0	NaN	14.0	0.250000	0.00	0
102	932	19066870.0	2021-01-07	Reclame Aqui	3489502	suellen.franco+core@gympass.com	lucashaddadf@gmail.com	1	19066870	1.0	1.0	NaN	1717.0	2931.0	NaN	38.0	0.000000	0.00	0

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Other Punctuation

Math Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Dash Punctuation

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows